G-ribo motif favors the formation of pseudoknots in ribosomal RNA
Bibliographic record
Abstract
Analysis of the pseudoknots existing in the ribosomal RNA showed that four of them are formed with the help of G-ribo, a recently identified RNA recurrent motif. The analysis of these pseudoknots revealed two major aspects in the G-ribo motif structure, which together provide the structural context favoring the formation of two different types of pseudoknots. The first aspect pertains to a particular side-by-side juxtaposition of two double helices that facilitates switches of the polynucleotide chain between different strands. The second aspect deals with the presence of an adenosine at a specific place where it can stabilize a particular arrangement of two quasicoaxial helices required for the pseudoknot formation. Additional analysis shows that the latter aspect is also present in other pseudoknots not related to the G-ribo motif or the ribosome, and thus represents a general structural element favoring the formation of pseudoknots.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".